MLECO-3183: Refactoring application sources

Platform agnostic application sources are moved into application
api module with their own independent CMake projects.

Changes for MLECO-3080 also included - they create CMake projects
individial API's (again, platform agnostic) that dependent on the
common logic. The API for KWS_API "joint" API has been removed and
now the use case relies on individual KWS, and ASR API libraries.

Change-Id: I1f7748dc767abb3904634a04e0991b74ac7b756d
Signed-off-by: Kshitij Sisodia <kshitij.sisodia@arm.com>

1 files changed, 0 insertions, 82 deletions

diff --git a/source/use_case/noise_reduction/include/RNNoiseModel.hpp b/source/use_case/noise_reduction/include/RNNoiseModel.hpp
deleted file mode 100644
index f6e4510..0000000
--- a/source/use_case/noise_reduction/include/RNNoiseModel.hpp
+++ /dev/null
@@ -1,82 +0,0 @@
-/*
- * Copyright (c) 2021 Arm Limited. All rights reserved.
- * SPDX-License-Identifier: Apache-2.0
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-#ifndef RNNOISE_MODEL_HPP
-#define RNNOISE_MODEL_HPP
-
-#include "Model.hpp"
-
-extern const uint32_t g_NumInputFeatures;
-extern const uint32_t g_FrameLength;
-extern const uint32_t g_FrameStride;
-
-namespace arm {
-namespace app {
-
-    class RNNoiseModel : public Model {
-    public:
-        /**
-         * @brief Runs inference for RNNoise model.
-         *
-         * Call CopyGruStates so GRU state outputs are copied to GRU state inputs before the inference run.
-         * Run ResetGruState() method to set states to zero before starting processing logically related data.
-         * @return True if inference succeeded, False - otherwise
-         */
-        bool RunInference() override;
-
-        /**
-         * @brief Sets GRU input states to zeros.
-         * Call this method before starting processing the new sequence of logically related data.
-         */
-        void ResetGruState();
-
-        /**
-        * @brief Copy current GRU output states to input states.
-        * Call this method before starting processing the next sequence of logically related data.
-         */
-        bool CopyGruStates();
-
-        /* Which index of model outputs does the main output (gains) come from. */
-        const size_t m_indexForModelOutput = 1;
-
-    protected:
-        /** @brief   Gets the reference to op resolver interface class. */
-        const tflite::MicroOpResolver& GetOpResolver() override;
-
-        /** @brief   Adds operations to the op resolver instance. */
-        bool EnlistOperations() override;
-
-        const uint8_t* ModelPointer() override;
-
-        size_t ModelSize() override;
-
-        /*
-        Each inference after the first needs to copy 3 GRU states from a output index to input index (model dependent):
-        0 -> 3, 2 -> 2, 3 -> 1
-        */
-        const std::vector<std::pair<size_t, size_t>> m_gruStateMap = {{0,3}, {2, 2}, {3, 1}};
-    private:
-        /* Maximum number of individual operations that can be enlisted. */
-        static constexpr int ms_maxOpCnt = 15;
-
-        /* A mutable op resolver instance. */
-        tflite::MicroMutableOpResolver<ms_maxOpCnt> m_opResolver;
-    };
-
-} /* namespace app */
-} /* namespace arm */
-
-#endif /* RNNOISE_MODEL_HPP */
\ No newline at end of file